(2 封私信 / 3 条消息) 朱勇椿 - 知乎 (zhihu.com)
KDD'22推荐系统论文梳理 (24篇研究&36篇应用论文) - 知乎 (zhihu.com)
- Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis
- PARSRec: Explainable Personalized Attention-fused Recurrent Sequential Recommendation Using Session Partial Actions
- Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective
- User-Event Graph Embedding Learning for Context-Aware Recommendation
- Joint Knowledge Graph Completion and Question Answering
- Practical Counterfactual Policy Learning for Top-K Recommendations
- Extracting Relevant Information from User's Utterances in Conversational Search and Recommendation
- Aligning Dual Disentangled User Representations from Ratings and Textual Content
- Comprehensive Fair Meta-learned Recommender System
- Improving Social Network Embedding via New Second-Order Continuous Graph Neural Networks
-
Learning Graph-based Disentangled Representations for Next POI Recommendation
-
GETNext: Trajectory Flow Map Enhanced Transformer for Next POI Recommendation
-
Empowering Next POI Recommendation with Multi-Relational Modeling
-
Hierarchical Multi-Task Graph Recurrent Network for Next POI Recommendation
-
KETCH: Knowledge Graph Enhanced Thread Recommendation in Healthcare Forums
-
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations
-
Hybrid Transformer with Multi-level Fusion for Multimodal Knowledge Graph Completion
-
Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding
-
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective
-
RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation
-
Self-supervised Graph Neural Networks for Multi-behavior Recommendation
-
Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation
-
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences
- STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation
- Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network
-
Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions
-
TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems
-
Modeling User Repeat Consumption Behavior for Online Novel Recommendation
-
Modeling Two-Way Selection Preference for Person-Job Fit
- RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems（强化学习）
- ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation
- LINet: A Location and Intention-Aware Neural Network for Hotel Group Recommendation
- Recommendation with Causality enhanced Natural Language Explanations
- Robust Preference-Guided Denoising for Graph based Social Recommendation
- Show Me The Best Outfit for A Certain Scene: A Scene-aware Fashion Recommender System
- Multi-Task Recommendations with Reinforcement Learning
- Code Recommendation for Open Source Software Developers
图网络
- DGRec: Graph Neural Network for Recommendation with Diversified Embedding Generation （多样性推荐）
- VRKG4Rec: Virtual Relational Knowledge Graph for Recommendation（融合知识图谱）
- Cognition-aware Knowledge Graph Reasoning for Explainable Recommendation（融合知识图谱）
跨域推荐
- One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation
其他
- Disentangled Representation for Diversified Recommendations
- A Causal View for Item-level Effect of Recommendation on User Preference
- Explicit Counterfactual Data Augmentation for Recommendation
- LANCER: A Lifetime-Aware News Recommender System